Hakan Gökalp Taş

Dr. Hakan Gökalp Taş

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2022 in Experimental Animals
Verified
Journal Article
Open access
PDF file
KEKezban Tuna Ozkaloglu Erdem
Kezban Tuna Ozkaloglu Erdem
ZBZehra Bedir
Zehra Bedir
UKUfuk Kuyrukluyildiz
Ufuk Kuyrukluyildiz
HTHakan Gökalp Taş
Hakan Gökalp Taş
ZSZeynep Suleyman
Zeynep Suleyman
HSHalis Suleyman
Halis Suleyman
Ischemia-reperfusion-induced (I/R) renal damage is a pathogenic process that starts with ischemia, then progresses through oxidative stress and inflammation. Tocilizumab (TCZ), a recombinant human monoclonal antibody produced against the IL-6 receptor, will be tested against renal I/R injury. TCZ is known to lower the levels of proinflammatory cytokines and oxidant mediators while raising the amounts of antioxidant molecules. Our purpose is to evaluate the biochemical and histological effects of TCZ against I/R-induced oxido-inflammatory kidney damage and dysfunction in rats. Animals were divided into 3 groups as renal I/R (RIR), I/R+ TCZ (IRT), and healthy group (HG). TCZ was administered at a dose of 8 mg/kg to the IRT group (n=6) of the animals, and distilled water as a solvent was administered intraperitoneally (ip) to the RIR (n=6) and HG (n=6) groups. Then, two hours of ischemia and six hours of reperfusion were applied to the left kidneys of IRT and RIR animals. TCZ significantly inhibited the increase in the levels of malondialdehyde (MDA), nuclear kappa B (NF-κB), tumour necrosis factor alpha (TNF-α), interleukin 1-β (IL-1β), IL-6, creatinine (Cr) and blood urea nitrogen (BUN) and decrease in total glutathione (tGSH) with I/R in renal tissue. TCZ also attenuated severe histopathological damage due to I/R in renal tissue. TCZ protected renal tissue from I/R-induced oxidative and inflammatory damage. These results indicate that TCZ may be useful in the treatment of renal I/R injury.

25 March 2025 in Medicina
Verified
Journal Article
Open access
PDF file
NTNecip gökhan Taş
Necip gökhan Taş
OAOsman Aktaş
Osman Aktaş
HTHakan Gökalp Taş
Hakan Gökalp Taş
SZSelim ZIRH
Selim ZIRH
NKNezahat Kurt
Nezahat Kurt
HUHakan Uslu
Hakan Uslu
Background and Objective: Probiotics have been shown to be effective in controlling various adverse health conditions such as antibiotic-associated diarrhea, inflammatory bowel disease, obesity, and neurological diseases. However, to our knowledge, there is no research on the preventive effect of probiotics on heart damage caused by infections. This study examined the preventive benefits of probiotics against sepsis-related heart injury using a rat model caused by lipopolysaccharide (LPS). Materials and Methods: Four groups of twenty-four male Wistar albino rats, each with six rats, were set up. For 14 days, Group 1 (Sham Group) was given oral normal saline, intraperitoneal Escherichia coli O111-B4 lipopolysaccharide (LPS Group) was given to Group 2, and oral probiotics were given to Group 3 (Probiotic Group). Escherichia coli O111-B4 lipopolysaccharide was injected intraperitoneally after Group 4 (Probiotic + LPS) received oral probiotics containing Lactobacillus rhamnosus GG and Bifidobacterium animalis subsp. lactis BB-12 (109 CFU/day). Blood samples were taken twenty-four hours following the administration of LPS. The animals were then euthanized by cervical dislocation, and samples of cardiac tissue were taken in order to assess any damage to the heart. The following serum values were measured: C-reactive protein (CRP), creatine kinase-myocardial band (CK-MB), cardiac troponin subunit I (cTn-I), tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), and interleukin-6 (IL-6). The TNF-α, IL-1β, IL-6, glutathione (GSH), malondialdehyde (MDA), Total Oxidant Status (TOS), Total Antioxidant Status (TAS), Oxidative Stress Index (OSI), CRP, CK-MB, and cTn-I levels were assessed in tissue samples. Additionally, staining techniques were used to analyze histopathological alterations in tissues. Results: With the exception of serum IL-6 (p = 0.111), tissue and serum cytokine levels were considerably greater in the sepsis group (Group 2) than in the other groups (p < 0.05 to <0.001). The TAS, GSH, and SOD levels were significantly lower (p < 0.05 to <0.001) in septic rats, although the tissue levels of TOS, OSI, and MDA were significantly higher. With the exception of serum CRP in Group 3 (p = 0.328), the CK-MB, CRP, and cTn-I levels were considerably higher in Group 2 than in the other groups (p < 0.01 to <0.001). When compared to the other groups, histopathological examination showed significant alterations in the LPS group. Conclusions: Probiotics showed positive effects on oxidative stress markers and dramatically decreased sepsis-induced cardiac damage in the LPS-induced sepsis model. These results imply that probiotics could be used as a therapeutic approach to lessen the cardiac damage brought on by sepsis.


10 May 2022 in Acta Poloniae Pharmaceutica - Drug Research
Verified
Journal Article
Open access
BGBetül Gündoğdu
Betül Gündoğdu
HTHakan Gökalp Taş
Hakan Gökalp Taş
BSBahadır Süleyman
Bahadır Süleyman
RMRenad Mamedov
Renad Mamedov
NYNeslihan Yüce
Neslihan Yüce
HSHalis Süleyman
Halis Süleyman

29 August 2025 in Medical Science Monitor
Verified
Journal Article
Open access
HTHakan Gökalp Taş
Hakan Gökalp Taş
MTMehmet Bilge Han TAŞ
Mehmet Bilge Han TAŞ
EYEyyup Yildiz
Eyyup Yildiz
SASonay Aydin
Sonay Aydin
BACKGROUND This study used CT imaging analyzed with deep learning techniques to assess the diagnostic accuracy of lung metastasis detection in patients with breast cancer. The aim of the research was to create and verify a system for detecting malignant and metastatic lung lesions that uses YOLOv10 and transfer learning. MATERIAL AND METHODS From January 2023 to 2024, CT scans of 16 patients with breast cancer who had confirmed lung metastases were gathered retrospectively from Erzincan Mengücek Gazi Training and Research Hospital. The YOLOv10 deep learning system was used to assess a labeled dataset of 1264 enhanced CT images. RESULTS A total of 1264 labeled images from 16 patients were included. With an accuracy of 96.4%, sensitivity of 94.1%, specificity of 97.1%, and precision of 90.3%, the ResNet-50 model performed best. The robustness of the model was shown by the remarkable area under the curve (AUC), which came in at 0.96. After dataset tuning, the GoogLeNet model's accuracy was 97.3%. These results highlight our approach's improved diagnostic capabilities over current approaches. CONCLUSIONS This study shows how YOLOv10 and transfer learning can be used to improve the diagnostic precision of pulmonary metastases in patients with breast cancer. The model's effectiveness is demonstrated by the excellent performance metrics attained, opening the door for its application in clinical situations. The suggested approach supports prompt and efficient treatment decisions by lowering radiologists; workload and improving the early diagnosis of metastatic lesions.

20 May 2021
Verified
Book
Closed access
PDF file
BKBegüm Kurt
Begüm Kurt
BKBüşra Kanyıldız
Büşra Kanyıldız
EŞErdem Şahin
Erdem Şahin
YMYusuf Madendağ
Yusuf Madendağ
MKMehmet Mete Kırlangıç
Mehmet Mete Kırlangıç
HTHakan Gökalp Taş
Hakan Gökalp Taş
Based in Ankara in Turkey, the independent academic publisher, Akademisyen Publishing House, has been publishing books for almost 30 years. As the directors of Akademisyen Publishing House, we are proud to publish around 1500 books across disciplines so far, especially in Health Sciences. We also publish books in Social Sciences, Educational Sciences, Physical Sciences, and also books on cultural and artistic topics.Akademisyen Publishing House has recently commenced the process of publishing books in the international arena with the “Scientific Research Book” series in Turkish and English. The publication process of the books, which is expected to take place in March and September every year, will continue with thematic subtitles across disciplines